License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: May 31, 2018
Last Modified: May 31, 2018
Protocol Integer ID: 12691
Keywords: licor
Abstract
REVERT™ Total Protein Stain is a near-infrared fluorescent membrane stain used for total protein detection and normalization. REVERT staining is imaged at 700 nm, and fluorescent signals are proportional to sample loading.
This protocol describes how to use REVERT™ Total Protein Stain for Western blot normalization and quantitative analysis.
Note: This protocol is intended for use with near-infrared fluorescent Western blots.
Guidelines
I. Introduction
In quantitative Western blotting (QWB), normalization mathematically corrects for unavoidable sample-to-sample and lane-to-lane variation by comparing the target protein to an internal loading control. The internal loading control is used as an indicator of sample protein loading, to correct for loading variation and confirm that observed changes represent actual differences between samples.
More Info: For more normalization related resources, see 'Further Reading' in section VIII.
Total Protein Staining as an Internal Loading Control
Total protein detection is becoming the “gold standard” for normalization of protein loading. After transfer, but prior to immunodetection, the membrane is treated with a total protein stain to assess actual sample loading across the blot. Because this internal loading control uses the combined signal from many different sample proteins in each lane, error and variability are minimized. This antibody-independent method corrects for variation in both sample protein loading and transfer efficiency, and monitors protein transfer across the blot at all molecular weights.
REVERT™ Total Protein Stain is a near-infrared fluorescent membrane stain used for total protein detection and normalization. REVERT staining is imaged at 700 nm, and fluorescent signals are proportional to sample loading.
This protocol describes how to use REVERT™ Total Protein Stain for Western blot normalization and quantitative analysis.
Note: This protocol is intended for use with near-infrared fluorescent Western blots.
II. Keys for SuccessSaturation and linear range. Saturated bands and sample overloading frequently compromise the accuracy of QWB. Use a dilution series to verify that you are working within the linear range of detection, and signal intensity is proportional to sample loading. See the protocol: Determining the Linear Range for Quantitative Western Blot Detection for more information.
Replication. Replicate samples provide information about the inherent variability of your methods, to determine if the changes you see are meaningful and significant. A minimum of three technical replicates is recommended for each sample. Replicates are discussed further in section VI.
Uniform sample loading. Uniform loading of total sample protein across the gel is critical for accurate QWB analysis. A protein concentration assay (BCA, Bradford, or similar assay) must be used to adjust sample concentration and load all samples as consistently as possible.
III. Required Reagents1. Treated and untreated samples
Protein concentration must be determined for all samples.
2. REVERT™ Total Protein Stain Kit (LI-COR, P/N 926-11010)3. Electrophoresis reagents4. Transfer Reagents5. Western blot detection reagents (near-infrared fluorescence)
Perform near-infrared Western blot detection according to the Near-Infrared Western Blot Detection Protocol
LI-COR NIRWesternProtocol with PVDF MembraneLI-COR NIRWestern Protocol with Nitrocellulose MembraneIV. Protocol
See 'STEPS'
V. Total Protein and Target Quantification
Use Image Studio™ Software (for a free version, download Image Studio Lite) to quantify the fluorescent signals from REVERT staining (700 nm) and your target protein (800 nm).
See 'STEPS'
VI. Normalization Calculations and Analysis of Replicates
Replication is an important part of QWB analysis, and is used to confirm the validity of observed changes in protein levels. Biological and technical replicates are both important, but meet different needs (1, 2).
Biological replicates: Parallel measurements of biologically distinct samples, used to control for biological variation and examine the generalizability of an experimental observation.
Technical replicates: Repeated measurements used to establish the variability of a protocol or assay, and determine if an experimental effect is large enough to be reliably distinguished from the assay noise.
Technical replication can be performed by testing the sample multiple times on the same gel or membrane (intra-assay variation) or by testing the sample multiple times in several Western blot experiments. This procedure describes the normalization and analysis of technical replicates that were tested multiple times on the same membrane.
Calculate the Lane Normalization Factor for Each Lane (Total Protein Stain, 700 nm)
1. Prepare a spreadsheet that contains the total protein staining and target protein quantification data.
2. Using the Total Protein Stain data from the normalization channel, calculate the Average (arithmetic mean), Standard Deviation, and % Coefficient of Variation (% CV) of the replicate samples.
“Average” formula in Excel = AVERAGE(rep 1, rep 2, ......)
Standard Deviation formula in Excel = STDEV(rep 1 value, rep 2 value, .....)
% Coefficient of Variation =
REVERT Staining (700 nm)
Lane
Sample treatment
Replicate
700 nm signal
Average Signal
St Dev
% CV
1
none
1
10,000
9,000
1000
11%
2
2
8,000
3
3
9,000
4
UV
1
8,000
8,333
577
7%
5
2
9,000
6
3
8,000
Example values shown for illustration only.
3. Calculate the Lane Normalization Factor (LNF) for each lane.
a. Identify the lane with the highest signal for total protein staining.
b. Use this value to calculate the Lane Normalization Factor for each lane.
REVERT Staining (700 nm)
Lane
Sample treatment
Replicate
700 nm signal
Highest Signal
Lane Normalization
factor
1
none
1
10,000
10,000
1
2
2
8,000
10,000
0.8
3
3
9,000
10,000
0.9
4
UV
1
8,000
10,000
0.8
5
2
9,000
10,000
0.9
6
3
8,000
10,000
0.8
Important: Normalization factors must be calculated for each blot. Normalization factors and standard curves cannot be reused between blots.
Calculate the Normalized Target Protein Signals (800 nm)
1. Using the Target Protein data from the 800 nm channel, calculate the Average, Standard Deviation, and % Coefficient of Variation of the replicate samples.
Target protein (800 nm), not normalized
Lane
Sample treatment
Replicate
Target (800 nm)
Average Signal
St Dev
% CV
1
none
1
650
600
50
8%
2
2
550
3
3
600
4
UV
1
450
477
25
5%
5
2
500
6
3
480
Example values shown for illustration only.
2. Calculate the Normalized Target Signal for each target band by applying the Lane Normalization Factor for that lane.
a. Divide the Target Signal for each lane by the corresponding LNF.
Target protein (not normalized)
Normalization
Normalized to total
protein
Lane
Sample treatment
Replicate
Target (800 nm)
LNF
(REVERT)
Norm. of
Target
Norm. Target
1
none
1
650
1
650/1
650
2
2
550
0.8
550/0.8
688
3
3
600
0.9
600/0.9
667
4
UV
1
450
0.8
450/0.8
563
5
2
500
0.9
500/0.9
556
6
3
480
0.8
480/0.8
600
b. Calculate the Average, Standard Deviation, and % Coefficient of Variation of the replicates
Target protein (not normalized)
Target protein (normalized to total protein)
Lane
Sample treatment
Replicate
Target (800 nm)
Normalized
Target
Average
signal
St Dev
% CV
1
none
1
650
650
668
19
3%
2
2
550
688
3
3
600
667
4
UV
1
450
563
573
44
4%
5
2
500
556
6
3
480
600
VII. Data Interpretation
1. Use the normalized Target Protein values for relative comparison of samples.
In the example above, Target Protein level is 14% lower in UV-treated samples than in untreated samples.
2. % CV can be used to evaluate the robustness of QWB results, and determine if the magnitude of observed changes in Target Protein levels is large enough to be reliably distinguished from assay variability.
a. The percent coefficient of variation (% CV) describes the spread or variability of measured signals by expressing the standard deviation (SD) as a percent of the average value (arithmetic mean). Because % CV is independent of the mean and has no unit of measure, it can be used to compare the variability of data sets and indicate the precision and repeatability of an assay.
A low % CV value indicates low signal variability and high measurement precision.
A larger % CV indicates greater variation in signal and reduced precision
b. On a Western blot, a change in band intensity is meaningful only if its magnitude substantially exceeds the % CV.
Generally speaking, the magnitude of the reported change should be at least 2X greater than the % CV.
Example: To report a 20% difference between samples (0.8-fold or 1.2-fold change in band intensity), a CV of 10% or less would be recommended for replicate samples.
For a specific measurement, this threshold for the magnitude of change would correspond to the mean + 2 SD.
Faint bands or subtle changes in band intensity are more difficult to detect reliably. In these situations, QWB analysis requires more extensive replication and low % CV.
This is a general guideline only. Replication needs and data interpretation are specific to your experiment, and you may wish to consult a statistician.
3. Compare the % CV of Target Protein replicates before and after normalization.
a. Normalization should not greatly increase the % CV of replicate samples.
b. The purpose of normalization is to reduce the variability between replicate samples by correcting for lane-to-lane variation. A large increase in % CV after normalization of replicates is a warning sign that the normalization method is not sufficiently robust, and may be a source of experimental error.
VIII. Further Reading
Please see the following for more information about normalization.
Western Blot Normalization Handbooklicor.com/handbook
The Normalization Handbook describes how to choose and validate an appropriate internal loading control for normalization.
Good Normalization Gone Badlicor.com/GNGB
Good Normalization Gone Bad presents examples of normalization that have been adversely affected by common pitfalls and offers potential solutions.
Western Blot Normalization White Paperlicor.com/normalizationreview
This white paper comprehensively reviews the literature of Western blot normalization.
Determining the Linear Range for Quantitative Western Blot Detectionlicor.com/LinearRange
This protocol explains how to choose an appropriate amount of sample to load for QWB analysis.
Pan/Phospho Analysis For Western Blot Normalizationlicor.com/PanProteinNormalization
This protocol describes how to use pan-specific antibodies as an internal loading control for normalization.
Housekeeping Protein Validation Protocollicor.com/HKP-Validation
This protocol explains how to validate an HKP for use as an internal loading control, by demonstrating that HKP expression is stable in the relevant experimental samples.
Housekeeping Protein Normalization Protocollicor.com/HKP-Normalization
This protocol describes how to use a housekeeping protein for Western blot normalization and quantitative analysis.
References
1. Robasky, K, Lewis NE, and Church GM. Nat. Rev. Genet. 15: 56–62 (2014). http://www.nature.com/nmeth/journal/v11/n9/pdf/nmeth.3091.pdf
2. Naegle K, Gough NR, and Yaffe MB. Sci Signal. 8:fs7 (2015).
https://www.ncbi.nlm.nih.gov/pubmed/25852186
Materials
MATERIALS
REVERT™ Total Protein Stain KitLicorCatalog #926-11010
Image the membrane in the 700 nm channel with an Odyssey® imaging system (Classic, CLx, or Fc).
Adjust settings so that no saturation appears in the bands to be quantified.
Blocking and immunodetection
Blocking and immunodetection
Rinse membrane briefly with water, and proceed immediately to blocking and immunodetection steps.
Perform immunoblotting using IRDye® 800CW conjugated secondary antibody to detect the HKP.Blocking and immunodetection
Image membrane in 800nm chan
Image membrane in 800nm chan
Image the membrane in the 800 nm channel with an Odyssey imaging system. Adjust settings so that no saturation appears in the bands to be quantified.
Total Protein Quantification (700 nm image)
Total Protein Quantification (700 nm image)
Use the Draw Rectangle in Image Studio™ Software to quantify the Total Protein signal in each lane. Draw a shape around the first lane on the Total Protein Stain image (700 nm channel).
In the Shape group on the Analysis tab, click Draw Rectangle.
Draw a rectangle around the first lane. If lanes are skewed, rotate the shape by clicking Rotate in the Edit group.
Note
More Info: For help choosing the right background subtraction method, see licor.com/BgSubtractHelp.
Copy the shape from the first lane to each remaining lane. With the first shape selected, click Add Selection.
Click the next lane to copy the shape. If necessary, adjust the shape borders to ensure that each shape encloses the signal from one and only one lane.
Export total protein quantification data. Click Shapes to open the Shapes data table.
Select shape data, then copy and paste data into a spreadsheet.
Note: All data fields will be exported, but “Signal” is the field of interest for analysis.
Total Protein Quantification (800 nm image)
Total Protein Quantification (800 nm image)
Use the Add Rectangle tool in Image Studio Software to quantify the target protein band in each lane (800 nm channel).
Add shapes to bands. In the Shape group on the Analysis tab, click Add Rectangle.
Click each band to be analyzed, and an appropriately sized shape will be added around the band.
Note
More Info: For help choosing the right background subtraction method, see licor.com/BgSubtractHelp.
Export total protein quantification data. Click Shapes to open the Shapes data table.
Select shape data, then copy and paste data into a spreadsheet.
For information on how to perform the normalization calculations and data interpretation, go to Sections VI - VII in the Guidelines.
Note
Note: All data fields will be exported, but “Signal” is the field of interest for analysis.